Model Type |
| |||||||||||||||
Use Cases |
| |||||||||||||||
Additional Notes |
| |||||||||||||||
Training Details |
| |||||||||||||||
Input Output |
|
LLM Name | Llama 3 6B V0.1 |
Repository ๐ค | https://huggingface.co/prince-canuma/Llama-3-6B-v0.1 |
Base Model(s) | |
Model Size | 6b |
Required VRAM | 12.6 GB |
Updated | 2025-05-31 |
Maintainer | prince-canuma |
Model Type | llama |
Model Files | |
Supported Languages | en |
Model Architecture | LlamaForCausalLM |
License | llama3 |
Context Length | 8192 |
Model Max Length | 8192 |
Transformers Version | 4.40.1 |
Tokenizer Class | PreTrainedTokenizerFast |
Vocabulary Size | 128256 |
Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Yi 6B 200K | 195K / 12.1 GB | 4843 | 172 |
Wukong Yi 6B 200K | 195K / 12.1 GB | 11 | 1 |
Yi 6B 200K AEZAKMI V2 | 195K / 12.1 GB | 15 | 1 |
Yi 6B 200K DPO | 195K / 12.1 GB | 12 | 0 |
Yi 6B 200K Llamafied | 195K / 12.1 GB | 21 | 11 |
Yi 6B 200K Llama | 195K / 12.1 GB | 9 | 5 |
Barcenas 6B 200K | 195K / 12.1 GB | 24 | 2 |
Llama 3.2 6B AlgoCode | 128K / 12.7 GB | 12 | 1 |
Chatglm2 6B Port Llama | 32K / 12.5 GB | 13 | 4 |
Miqu 6B Truthy | 31K / 11.3 GB | 12 | 1 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐